I have a Python dictionary like the following:
The keys are Unicode dates and the values are integers. I would like to convert this into a pandas data frame by having the dates and their corresponding values as two separate columns. Example: col1: Dates col2: DateValue (the dates are still Unicode and date values are still integers)
Date Date Value
0 2012-07-01 391
1 2012-07-02 392
2 2012-07-03 392
3 2012-07-04 392
. … ...
Any help in this direction would be much appreciated. I am unable to find resources on the pandas docs to help me with this.
I know one solution might be to convert each key-value pair in this dict, into a dict so the entire structure becomes a dict of dicts, and then we can add each row individually to the data frame. But I want to know if there is an easier way and a more direct way to do this.
So far I have tried converting the dict into a series object but this doesn't seem to maintain the relationship between the columns:
s = Series(my_dict,index=my_dict.keys())